skrobotskrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
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XEDXED multilingual emotion datasets
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Hyperparameter hunterEasy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
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playgroundA Streamlit application to play with machine learning models directly from the browser
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Emotion and Polarity SOAn emotion classifier of text containing technical content from the SE domain
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feature engineFeature engineering package with sklearn like functionality
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HungabungaHungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
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FeaturetoolsAn open source python library for automated feature engineering
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Sklearn PorterTranspile trained scikit-learn estimators to C, Java, JavaScript and others.
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TpotA Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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Dat8General Assembly's 2015 Data Science course in Washington, DC
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Kaio-machine-learning-human-face-detectionMachine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions
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skippaSciKIt-learn Pipeline in PAndas
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Aspect-Based-Sentiment-AnalysisA python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.
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Sklearn EvaluationMachine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
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Mljar SupervisedAutomated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
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SelfdrivingcarA collection of all projects pertaining to different layers in the SDC software stack
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scikit-learnبه فارسی، برای مشارکت scikit-learn
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Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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HyperactiveA hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.
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Amazing Feature EngineeringFeature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
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imbalanced-ensembleClass-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库
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Igela delightful machine learning tool that allows you to train, test, and use models without writing code
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exemplary-ml-pipelineExemplary, annotated machine learning pipeline for any tabular data problem.
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emotion-recognition-GANThis project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN
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projection-pursuitAn implementation of multivariate projection pursuit regression and univariate classification
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Python-Machine-Learning-FundamentalsD-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.
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AlphapyAutomated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
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Profanity CheckA fast, robust Python library to check for offensive language in strings.
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Scikit MultilearnA scikit-learn based module for multi-label et. al. classification
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textlyticsText processing library for sentiment analysis and related tasks
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Traingenerator🧙 A web app to generate template code for machine learning
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AilearningAiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
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Ml codeA repository for recording the machine learning code
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Mlatimperial2017Materials for the course of machine learning at Imperial College organized by Yandex SDA
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Emotion-InvestigatorAn Exciting Deep Learning-based Flask web app that predicts the Facial Expressions of users and also does Graphical Visualization of the Expressions.
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Practical Machine Learning With PythonMaster the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
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Qlik Py ToolsData Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
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STEPSpatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
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Orange3🍊 📊 💡 Orange: Interactive data analysis
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sklearn-pmml-modelA library to parse and convert PMML models into Scikit-learn estimators.
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Auto ml[UNMAINTAINED] Automated machine learning for analytics & production
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AIML-Human-Attributes-Detection-with-Facial-Feature-ExtractionThis is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.
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KMeans elbowCode for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
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ml-workflow-automationPython Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.
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AutoTabularAutomatic machine learning for tabular data. ⚡🔥⚡
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RECCONThis repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
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converseConversational text Analysis using various NLP techniques
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hfusionMultimodal sentiment analysis using hierarchical fusion with context modeling
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